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Nanomolar detection of lansoprazole: computational–assisted to monomer–templet complex study based on molecularly imprinted polymer and electrochemical determination

Zeinab Khalili and Azizollah Nezhadali

Department of Chemistry, Payame Noor University, Tehran, Iran

 

E-mail: z.khalili1797@gmail.com

Received: 15 August 2021  Accepted: 11 October 2021

Abstract:

Abstract

Herein, a sensitive electrochemical sensor based on a molecularly imprinted polymer (MIP) was developed to measure the lansoprazole (LNS). The most suitable monomer was chosen by a computational method. A cyclic voltammetry technique was used to synthesize the sensor by electro-polymerization of pyrrole on a pencil graphite electrode in the presence of a template molecule. The differential pulse voltammetry technique was performed for all measurements. The characterization of the modified sensor was investigated by scanning electron microscopy. To optimize the critical factors, the Plackett–Burman design and central composite design methods were done. Linear range of 10–1000 µM and correlation coefficients (R2) of 0.9846 were obtained by plotting the calibration curve under optimal conditions. The limit of detection and the limit of quantitation were determined as 0.031 μM (S/N = 3) and 0.075 μM (S/N = 10), respectively. Finally, the proposed sensor was successfully applied to LNS determination in capsule and serum samples.

Graphic abstract

Keywords: Imprinted electrochemical sensor; Lansoprazole; Density functional theory; Multivariate optimization

Full paper is available at www.springerlink.com.

DOI: 10.1007/s11696-021-01933-z

 

Chemical Papers 76 (2) 1185–1198 (2022)

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